Existing grasp prediction approaches are mostly based on offline learnin...
This paper presents a novel method for model-free prediction of grasp po...
Robotic manipulation is currently undergoing a profound paradigm shift d...
We propose a self-supervised training approach for learning view-invaria...
For performing robotic manipulation tasks, the core problem is determini...
In recent years, the model of computation known as Behavior Trees (BT), ...
Signal Temporal Logic (STL) is an efficient technique for describing tem...
Dense Object Nets (DONs) by Florence, Manuelli and Tedrake (2018) introd...
Enabling robots to quickly learn manipulation skills is an important, ye...